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Understanding design collaboration between designers and artificial intelligence: A systematic literature review
Recent interest in design through the artificial intelligence (AI) lens is rapidly increasing.
Designers, as a special user group interacting with AI, have received more attention in the …
Designers, as a special user group interacting with AI, have received more attention in the …
Challenges of responsible AI in practice: sco** review and recommended actions
Responsible AI (RAI) guidelines aim to ensure that AI systems respect democratic values.
While a step in the right direction, they currently fail to impact practice. Our work discusses …
While a step in the right direction, they currently fail to impact practice. Our work discusses …
Understanding the role of human intuition on reliance in human-AI decision-making with explanations
AI explanations are often mentioned as a way to improve human-AI decision-making, but
empirical studies have not found consistent evidence of explanations' effectiveness and, on …
empirical studies have not found consistent evidence of explanations' effectiveness and, on …
Ignore, trust, or negotiate: understanding clinician acceptance of AI-based treatment recommendations in health care
Artificial intelligence (AI) in healthcare has the potential to improve patient outcomes, but
clinician acceptance remains a critical barrier. We developed a novel decision support …
clinician acceptance remains a critical barrier. We developed a novel decision support …
Talk2care: An llm-based voice assistant for communication between healthcare providers and older adults
Despite the plethora of telehealth applications to assist home-based older adults and
healthcare providers, basic messaging and phone calls are still the most common …
healthcare providers, basic messaging and phone calls are still the most common …
Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services
Recent years have seen growing adoption of AI-based decision-support systems (ADS) in
homeless services, yet we know little about stakeholder desires and concerns surrounding …
homeless services, yet we know little about stakeholder desires and concerns surrounding …
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders
Child welfare agencies across the United States are turning to data-driven predictive
technologies (commonly called predictive analytics) which use government administrative …
technologies (commonly called predictive analytics) which use government administrative …
Dealing with uncertainty: Understanding the impact of prognostic versus diagnostic tasks on trust and reliance in human-AI decision making
While existing literature has explored and revealed several insights pertaining to the role of
human factors (eg, prior experience, domain knowledge) and attributes of AI systems (eg …
human factors (eg, prior experience, domain knowledge) and attributes of AI systems (eg …
Healthcare AI treatment decision support: Design principles to enhance clinician adoption and trust
Artificial intelligence (AI) supported clinical decision support (CDS) technologies can parse
vast quantities of patient data into meaningful insights for healthcare providers. Much work is …
vast quantities of patient data into meaningful insights for healthcare providers. Much work is …
Improving human-AI collaboration with descriptions of AI behavior
People work with AI systems to improve their decision making, but often under-or over-rely
on AI predictions and perform worse than they would have unassisted. To help people …
on AI predictions and perform worse than they would have unassisted. To help people …